Platform end intrusion detection method and system based on radar video fusion

Abstract

According to the platform end intrusion detection method and system based on radar video fusion provided by the invention, video data acquisition and radar data acquisition are fused at the front end, so that the defects and disadvantages of single sensor work are avoided, the influence of any weather and light environment can be avoided, and the intrusion detection accuracy can be improved even under the condition of dense smoke or dense fog. The human body can still be reliably detected and tracked; rapid discovery and rapid positioning are achieved, the monitoring function is not affected at all, all-weather and all-directional platform end invasion can be achieved, and the recognition efficiency and accuracy greatly exceed the manual ability; by automatically analyzing and calculating acquired radar data and video image sequences and identifying and eliminating false alarms by identifying various illumination shadows, rain and snow weather and birds, abnormal events of station end invasion can be accurately identified in real time, intelligent sound and light alarms are given, and the system is convenient to use. And the working efficiency of platform passenger safety management and the user service experience of the station are improved.

Description

technical field [0001] The present invention relates to the technical field of radar, in particular to a method and system for intrusion detection at a station end based on radar video fusion. Background technique [0002] At present, the existing intrusion alarm system at the end of the railway platform adopts video detection. Although the camera can accurately sense the intrusion of personnel, due to the optical characteristics of the camera, it is easily disturbed by the surrounding environment, such as dense fog, smoke, storm, rain and snow, etc. Severe weather or lighting conditions such as glare and total darkness will significantly affect the normal operation of the camera, resulting in inaccurate results of the image information it collects. The accuracy of smart event detection is low, and it cannot support all-weather detection. [0003] The existing intrusion alarm system at the end of the railway platform using infrared temperature sensing equipment can overcome ...

AI Technical Summary

Problems solved by technology

[0002] At present, there is an existing intrusion alarm system at the end of a railway platform that uses video detection. Although the camera can accurately perceive personnel intrusion, due to the optical characteristics of the camera, it is easily disturbed by the surrounding environment, such as dense fog, smoke, storm, rain, snow, etc. Severe weather or lighting conditions such as glare and total darkness will significantly affect the normal operation of the camera, resulting in inaccurate image information collected by it, and the accuracy of intelligent event detection is low, which cannot support all-weather detection

[0003] The existing intrusion alarm system at the end of the railway platform using infrared temperature sensing equipment can overcome the problem of weak light at night, but the detection distance is generally less than 10 meters, and it is particularly easy to receive environmental interference. When the human body temperature is low in winter , there will be false positives, and it is easy to produce false positives when small animals pass by

[0004] Existing platform end detection systems are generally isolated islands of data. Although each system has a large amount of collected data, the data application rate is low or even has no application. Version iteration upgrade optimization

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